Production Data Quality Scorecard

Assess and score your production data quality across completeness, accuracy, timeliness, and consistency dimensions. Identify gaps before analytics or AI programs.

Inputs

Data Completeness (%)

% of expected records present

Data Accuracy (%)

% of values within acceptable range

Timeliness Score (1–10)

10=real-time, 1=months delayed

Consistency Score (1–10)

10=fully consistent units/formats

Wells with SCADA/Sensors (%)

Last Data Audit (months ago)

Months since last QC audit

Results

DQ Score

/ 100

Data Grade

Analytics Readiness

AI/ML Readiness

Equations

DQ Score = weighted combination:

Completeness 30% + Accuracy 30% + Timeliness 15% + Consistency 15% + Coverage 10%

Grade: A (85-100), B (70-84), C (55-69), D (40-54), F (<40)

AI readiness requires DQ Score >= 75 across all dimensions

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